Mephisto405 / Learning-Loss-for-Active-Learning
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
☆218Updated 4 years ago
Alternatives and similar repositories for Learning-Loss-for-Active-Learning:
Users that are interested in Learning-Loss-for-Active-Learning are comparing it to the libraries listed below
- Variational Adversarial Active Learning (ICCV 2019)☆227Updated last year
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆267Updated 6 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Updated 5 years ago
- A list of active learning methods for deep learning.☆63Updated last year
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆83Updated 2 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆176Updated 10 months ago
- An implementation of the BADGE batch active learning algorithm.☆202Updated 9 months ago
- Awesome Active Learning Paper List☆142Updated 10 months ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆234Updated last year
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆53Updated 10 months ago
- Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)☆173Updated 3 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆295Updated last year
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆126Updated 5 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆88Updated 4 months ago
- ☆47Updated last year
- When Does Label Smoothing Help?_pytorch_implementationimp☆125Updated 5 years ago
- Deep Active Learning☆822Updated 2 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 3 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 4 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆147Updated 3 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆138Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆136Updated 8 months ago
- Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo co…☆190Updated 3 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆102Updated last year
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆42Updated last year
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆186Updated 4 years ago
- Code for Multiple Instance Active Learning for Object Detection, CVPR 2021☆338Updated last year
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆226Updated 4 years ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆268Updated last year